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Faculty

Full Stack Software Engineer

London
Level
Mid
Work type
Hybrid · London

Not stated in the posting: salary, visa.

Open. First seen 28 September 2026.

Apply on the company's site →

About the role

Faculty's standard text

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the team

Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.

From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.

Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.

About the role

As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients.

This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.

#LI-PRIO

What you'll be doing:

  • Working in cross-functional teams, alongside Data Scientists and Product Managers, to deploy technically sophisticated, high-impact software.
  • Building reliable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.
  • Building data pipelines and cloud infrastructure as part of wider AI systems.
  • Providing deep technical expertise to customers, helping them navigate complex requirements.

Who we're looking for:

  • You possess solid backend development skills in Python frameworks (such as FastAPI) and are comfortable managing the full application lifecycle.
  • You have full-stack experience and exposure to TypeScript and modern frontend frameworks like React or Vue
  • You have experience deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.
  • You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.
  • You know how to maintain a balance between rapid prototyping and long-term maintainability.
  • You thrive in autonomous, fast-paced environments where you can take full ownership of problems.
  • You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.

Our Interview Process

  • Talent Team Screen (30 minutes)
  • Pair Programming Interview (90 minutes)
  • System Design Interview (90 minutes)
  • Commercial Interview (60 minutes)

Our Recruitment Ethos

Faculty's standard text

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Faculty's standard text

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

What this role asks for

Particular to this role

FastAPI · Vue

Rare in Faculty's other 55 open postings.

Standard for full stack roles

AWS · React · TypeScript

Common in full stack postings at any company.

In most of Faculty's ads

Machine Learning · Python

Named in most of its open postings, whatever the role.

59% of this description is written for the role. The rest is Faculty's standard text, folded away below.

Compared with Faculty's other open jobs.

The team: Public Services

This role is one of 5 open in Public Services. 5 were posted in the last 30 days.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Machine Learning (4 of 5), AWS (3 of 5), Azure (3 of 5), Docker (3 of 5), GCP (3 of 5), Kubernetes (3 of 5), Python (3 of 5)

OTHER ROLES ON THIS TEAM

From the team and dates on Faculty's own job board.

Salary context

37 other open postings titled Full Stack Software Engineer state a salary: median USD 130,000 to USD 180,000 a year.

See Software Engineer salaries in London →

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